Rougned Odor

Pos2B

B/TL/R

Born1994-02-03

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

INTL

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2023	29	INTLAguilas del Z…	94	.228/.351/.316	1	1	99	—
2023	29	MLBSD	157	.203/.299/.355	4	2	91	0.4
2024	30	INTLAguilas del Z…	180	.293/.411/.480	4	3	156	—
2025	31	INTLNavegantes de…	218	.275/.392/.538	12	12	161	—
2026	32	No MLB games played

Last 3 seasons WAR 0.4

Contract

No contract data on file.

Skills · percentileStatcast 2021-2023

Bat Spd67

Barrel%45

Avg EV44

Speed36

xwOBA34

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2012	18	A	Hickory Crawdads	—	471	432	112	23	4	10	25	65	10	19	10	259	315	400	715	141	284	14	5	317	63	—	—	—	—	—	—
2013	19	AA	Frisco RoughRiders	—	144	134	41	8	2	6	9	24	1	5	2	306	354	530	884	224	337	17	6	386	116	—	—	—	—	—	—
2013	19	A+	Myrtle Beach Pelicans	—	425	377	115	33	4	5	26	67	15	27	8	305	373	454	827	149	355	16	6	363	95	—	—	—	—	—	—
2013	19	INTL	Navegantes del Magallanes	—	105	97	22	1	1	2	6	14	1	4	0	227	279	320	598	93	247	13	6	269	68	—	—	—	—	—	—
2014	20	MLB	Texas Rangers	—	417	386	100	14	7	9	17	71	5	4	7	259	299	402	701	142	294	17	4	304	85	-7	-2	+1	+3	+9	0.3
2014	20	AA	Frisco RoughRiders	—	138	129	36	2	1	6	7	22	0	6	3	279	316	450	766	171	294	16	5	333	68	—	—	—	—	—	—
2014	20	INTL	Navegantes del Magallanes	—	148	132	39	9	2	1	13	18	1	3	0	295	363	417	780	121	330	12	9	345	120	—	—	—	—	—	—
2015	21	MLB	Texas Rangers	—	470	426	111	21	9	16	23	79	14	6	7	261	320	465	784	204	283	17	5	340	107	+4	-2	+2	+2	+10	1.7
2015	21	AAA	Round Rock Express	—	124	108	38	12	2	5	12	10	2	3	1	352	426	639	1.065	287	355	8	10	452	139	—	—	—	—	—	—
2016	22	MLB	Texas Rangers	—	632	605	164	33	4	33	19	135	4	14	7	271	298	502	800	231	297	21	3	346	113	+10	+0	+2	+2	+14	2.8
2017	23	MLB	Texas Rangers	—	651	607	124	21	3	30	32	162	8	15	6	204	253	397	651	193	224	25	5	285	69	-24	+1	+4	+2	+14	-0.2
2018	24	MLB	Texas Rangers	—	535	474	120	23	2	18	43	127	11	12	12	253	330	424	754	171	305	24	8	333	102	+1	-2	+8	+2	+12	2.1
2019	25	MLB	Texas Rangers	—	581	522	107	30	1	30	52	178	5	11	9	205	283	439	722	234	244	31	9	317	90	-7	-1	+4	+2	+13	1.0
2020	26	MLB	Texas Rangers	—	148	138	23	4	0	10	7	47	1	0	1	167	212	413	625	246	157	32	5	268	61	-7	-0	+1	+1	+3	-0.3
2021	27	MLB	New York Yankees	—	361	322	65	12	0	15	27	100	11	0	1	202	286	379	665	177	242	28	7	299	83	-8	-0	+7	+1	+8	0.8
2022	28	MLB	Baltimore Orioles	—	472	426	88	19	3	13	32	109	10	6	1	207	278	357	635	150	244	23	7	284	75	-14	+1	-3	+2	+10	-0.5
2022	28	INTL	Aguilas del Zulia	—	30	23	11	2	0	2	6	2	0	0	1	478	586	826	1.412	348	450	7	20	575	275	—	—	—	—	—	—
2023	29	MLB	San Diego Padres	—	157	138	28	9	0	4	17	37	2	2	1	203	299	355	654	152	247	24	11	298	91	-2	+0	+1	+1	+3	0.4
2023	29	INTL	Aguilas del Zulia	—	94	79	18	4	0	1	13	10	2	1	1	228	351	316	668	89	250	11	14	314	99	—	—	—	—	—	—
2024	30	INTL	Aguilas del Zulia	—	180	150	44	12	2	4	24	29	6	3	1	293	411	480	891	187	342	16	13	398	156	—	—	—	—	—	—
2025	31	INTL	Navegantes del Magallanes	—	218	182	50	8	2	12	26	35	9	12	4	275	392	538	930	264	279	16	12	406	161	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	4424	4044	930	186	29	178	269	1045	71	70	52	230	290	422	712	192	264	24	6	312	98	-13	-7	+27	+18	+96	12.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2012	18	A MLE	Hickory Crawdads	—	471	441	99	19	4	7	16	91	10	19	10	224	268	333	601	109	263	19	3	261	63	—	—	—	—	—	—
2013	19	AA MLE	Frisco RoughRiders	—	144	138	40	7	2	4	5	30	1	5	2	290	319	457	776	167	343	21	3	339	116	—	—	—	—	—	—
2013	19	A+ MLE	Myrtle Beach Pelicans	—	425	386	102	27	3	5	17	92	15	27	8	264	321	389	709	124	321	22	4	309	95	—	—	—	—	—	—
2014	20	MLB MLE	Texas Rangers	—	417	387	99	13	7	9	16	71	5	4	7	256	294	395	689	140	294	17	4	294	85	-7	-2	+1	+3	+9	0.3
2014	20	AA MLE	Frisco RoughRiders	—	138	131	32	2	1	4	5	27	0	6	3	244	272	366	638	122	269	20	4	268	68	—	—	—	—	—	—
2015	21	MLB MLE	Texas Rangers	—	470	428	109	20	9	15	21	79	14	6	7	255	311	449	760	194	283	17	4	326	107	+4	-2	+2	+2	+10	1.7
2015	21	AAA MLE	Round Rock Express	—	124	112	34	10	2	4	8	13	2	3	1	304	361	536	896	232	311	10	6	374	139	—	—	—	—	—	—
2016	22	MLB MLE	Texas Rangers	—	632	605	161	31	4	32	19	135	4	14	7	266	293	489	782	223	297	21	3	335	113	+10	+0	+2	+2	+14	2.8
2017	23	MLB MLE	Texas Rangers	—	651	612	122	20	3	29	27	162	8	15	6	199	243	384	627	185	224	25	4	271	69	-24	+1	+4	+2	+14	-0.2
2018	24	MLB MLE	Texas Rangers	—	535	476	118	22	2	17	41	127	11	12	12	248	322	410	732	162	305	24	8	319	102	+1	-2	+8	+2	+12	2.1
2019	25	MLB MLE	Texas Rangers	—	581	524	104	28	1	29	50	178	5	11	9	198	275	422	696	223	244	31	9	301	90	-7	-1	+4	+2	+13	1.0
2020	26	MLB MLE	Texas Rangers	—	148	138	22	4	0	9	7	47	1	0	1	159	205	384	590	225	157	32	5	259	61	-7	-0	+1	+1	+3	-0.3
2021	27	MLB MLE	New York Yankees	—	361	324	64	12	0	14	25	100	11	0	1	198	278	364	642	167	242	28	7	290	83	-8	-0	+7	+1	+8	0.8
2022	28	MLB MLE	Baltimore Orioles	—	472	427	86	18	3	13	31	109	10	6	1	201	271	349	620	148	244	23	7	279	75	-14	+1	-3	+2	+10	-0.5
2023	29	MLB MLE	San Diego Padres	—	157	138	29	10	0	4	17	37	2	2	1	210	306	370	675	159	247	24	11	302	91	-2	+0	+1	+1	+3	0.4
2012	18	A MLE	Hickory Crawdads	—	471	441	99	19	4	7	16	91	10	19	10	224	268	333	601	109	267	19	3	261	63	—	—	—	—	—	—
2012	18	A RAW	Hickory Crawdads	—	471	432	112	23	4	10	25	65	10	19	10	259	315	400	715	141	284	14	5	317	63	—	—	—	—	—	—
2013	19	A+ MLE	3 teams	—	674	623	169	41	6	12	26	145	17	36	10	271	318	414	732	143	333	22	4	317	100	—	—	—	—	—	—
2013	19	A+ RAW	3 teams	—	674	608	178	42	7	13	41	105	17	36	10	293	354	449	803	156	333	16	6	354	100	—	—	—	—	—	—
2014	20	MLB MLE	3 teams	—	703	658	165	19	10	16	26	125	6	13	10	251	286	383	668	132	285	18	4	288	81	-16	-1	+1	+3	+15	0.1
2014	20	MLB RAW	3 teams	—	703	647	175	25	10	16	37	111	6	13	10	270	316	414	730	144	302	16	5	319	81	-16	-1	+1	+3	+15	0.1
2015	21	MLB MLE	2 teams	—	594	540	143	30	11	19	29	92	16	9	8	265	321	467	788	202	286	15	5	336	114	+10	-1	+2	+2	+13	2.6
2015	21	MLB RAW	2 teams	—	594	534	149	33	11	21	35	89	16	9	8	279	342	500	842	221	298	15	6	364	114	+10	-1	+2	+2	+13	2.6
2016	22	MLB MLE	Texas Rangers	—	632	605	161	31	4	32	19	135	4	14	7	266	293	489	782	223	292	21	3	335	113	+10	+0	+2	+2	+14	2.8
2016	22	MLB RAW	Texas Rangers	—	632	605	164	33	4	33	19	135	4	14	7	271	298	502	800	231	297	21	3	346	113	+10	+0	+2	+2	+14	2.8
2017	23	MLB MLE	Texas Rangers	—	651	612	122	20	3	29	27	162	8	15	6	199	243	384	627	185	219	25	4	271	69	-24	+1	+4	+2	+14	-0.2
2017	23	MLB RAW	Texas Rangers	—	651	607	124	21	3	30	32	162	8	15	6	204	253	397	651	193	224	25	5	285	69	-24	+1	+4	+2	+14	-0.2
2018	24	MLB MLE	Texas Rangers	—	535	476	118	22	2	17	41	127	11	12	12	248	322	410	732	162	300	24	8	319	102	+1	-2	+8	+2	+12	2.1
2018	24	MLB RAW	Texas Rangers	—	535	474	120	23	2	18	43	127	11	12	12	253	330	424	754	171	305	24	8	333	102	+1	-2	+8	+2	+12	2.1
2019	25	MLB MLE	Texas Rangers	—	581	524	104	28	1	29	50	178	5	11	9	198	275	422	696	223	236	31	9	301	90	-7	-1	+4	+2	+13	1.0
2019	25	MLB RAW	Texas Rangers	—	581	522	107	30	1	30	52	178	5	11	9	205	283	439	722	234	244	31	9	317	90	-7	-1	+4	+2	+13	1.0
2020	26	MLB MLE	Texas Rangers	—	148	138	22	4	0	9	7	47	1	0	1	159	205	384	590	225	155	32	5	259	61	-7	-0	+1	+1	+3	-0.3
2020	26	MLB RAW	Texas Rangers	—	148	138	23	4	0	10	7	47	1	0	1	167	212	413	625	246	157	32	5	268	61	-7	-0	+1	+1	+3	-0.3
2021	27	MLB MLE	New York Yankees	—	361	324	64	12	0	14	25	100	11	0	1	198	278	364	642	167	238	28	7	290	83	-8	-0	+7	+1	+8	0.8
2021	27	MLB RAW	New York Yankees	—	361	322	65	12	0	15	27	100	11	0	1	202	286	379	665	177	242	28	7	299	83	-8	-0	+7	+1	+8	0.8
2022	28	MLB MLE	2 teams	—	502	454	92	19	3	14	33	116	10	6	2	203	272	350	622	148	237	23	7	279	75	-15	+0	-3	+2	+11	-0.6
2022	28	MLB RAW	2 teams	—	502	449	99	21	3	15	38	111	10	6	2	220	296	381	677	160	256	22	8	301	75	-15	+0	-3	+2	+11	-0.6
2023	29	MLB MLE	2 teams	—	251	220	45	15	0	6	27	59	4	3	2	205	303	355	657	150	252	24	11	302	91	-3	-0	+1	+1	+5	0.4
2023	29	MLB RAW	2 teams	—	251	217	46	13	0	5	30	47	4	3	2	212	319	341	660	129	248	19	12	304	91	-3	-0	+1	+1	+5	0.4
2024	30	INTL MLE	Aguilas del Zulia	—	180	150	44	12	2	4	24	29	6	3	1	293	411	480	891	187	342	16	13	—	—	—	—	—	—	—	—
2024	30	INTL RAW	Aguilas del Zulia	—	180	150	44	12	2	4	24	29	6	3	1	293	411	480	891	187	342	16	13	398	156	—	—	—	—	—	—
2025	31	INTL MLE	Navegantes del Magallanes	—	218	182	50	8	2	12	26	35	9	12	4	275	392	538	930	264	279	16	12	—	—	—	—	—	—	—	—
2025	31	INTL RAW	Navegantes del Magallanes	—	218	182	50	8	2	12	26	35	9	12	4	275	392	538	930	264	279	16	12	406	161	—	—	—	—	—	—
2012	18	A MLE	Hickory Crawdads	—	471	442	99	19	4	7	16	91	10	19	10	224	268	333	600	109	263	19	3	261	63	—	—	—	—	—	—
2013	19	A+ MLE	3 teams	—	674	626	169	41	6	12	26	145	17	36	10	270	318	412	730	142	327	22	4	317	100	—	—	—	—	—	—
2014	20	MLB MLE	3 teams	—	703	665	165	19	10	16	26	125	6	13	10	248	286	379	664	131	288	18	4	288	81	—	—	—	—	—	—
2015	21	MLB MLE	2 teams	—	594	544	143	30	11	19	29	92	16	9	8	263	321	463	785	200	289	15	5	336	114	—	—	—	—	—	—
2016	22	MLB MLE	Texas Rangers	—	632	604	161	31	4	32	19	135	4	14	7	267	293	490	783	224	297	21	3	335	113	—	—	—	—	—	—
2017	23	MLB MLE	Texas Rangers	—	651	611	122	20	3	29	27	162	8	15	6	200	243	385	627	185	224	25	4	271	69	—	—	—	—	—	—
2018	24	MLB MLE	Texas Rangers	—	535	478	118	22	2	17	41	127	11	12	12	247	322	408	730	161	305	24	8	319	102	—	—	—	—	—	—
2019	25	MLB MLE	Texas Rangers	—	581	521	104	28	1	29	50	178	5	11	9	200	275	424	699	225	244	31	9	301	90	—	—	—	—	—	—
2020	26	MLB MLE	Texas Rangers	—	148	139	22	4	0	9	7	47	1	0	1	158	205	381	587	223	157	32	5	259	61	—	—	—	—	—	—
2021	27	MLB MLE	New York Yankees	—	361	322	64	12	0	14	25	100	11	0	1	199	278	366	644	168	242	28	7	290	83	—	—	—	—	—	—
2022	28	MLB MLE	2 teams	—	502	454	92	19	3	14	33	116	10	6	2	203	272	350	622	148	244	23	7	279	75	—	—	—	—	—	—
2023	29	MLB MLE	2 teams	—	251	218	45	15	0	6	27	59	4	3	2	206	303	358	661	151	247	24	11	302	91	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4424	4044	930	186	29	178	269	1045	71	70	52	230	290	422	712	192	264	24	6	312	77	-13	-7	+27	+18	+96	12.3
/ 162G	—	A+C		—	650	594	136	27	4	26	40	154	10	10	8	229	289	419	708	190	263	24	6	312	77	-2	-1	+4	+3	+14	1.8
Career	—	MLE		—	6501	5947	1398	280	48	220	376	1441	118	153	83	235	294	409	703	174	272	22	6	282	77	-13	-7	+27	+18	+96	12.3
/ 162G	—	MLE		—	650	595	140	28	5	22	38	144	12	15	8	235	295	410	705	175	273	22	6	282	77	-2	-1	+4	+3	+14	1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2015 AAARound Rock Express · 124 PAwOBA .438 → .374 (−63)K% 8.1% → 10.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.06%	÷1.031	×1.290	—	—	10.09%
BB% (unintentional) /PA	8.87%	÷1.014	×0.710	—	×1.050	6.52%
HBP% /PA	1.61%	—	×0.980	—	×1.050	1.66%
Singles /BIP	19.39%	÷1.007	×0.900	×0.992	×1.050	18.06%
Doubles /BIP	12.24%	÷1.029	×0.810	×0.992	×1.050	10.04%
Triples /BIP	2.04%	÷0.900	×0.810	×0.992	×1.050	1.91%
Home runs /BIP	5.10%	÷1.184	×0.780	—	×1.050	3.53%

Factors used: league row PCL. Park (home-season share, regressed): HR 137, 1B 101, 2B 106, 3B 80, K 106, BB 103 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.

Result: wOBA .438 → .374; ISO .287 → .229; BABIP .355 → .311. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2014 AAFrisco RoughRiders · 138 PAwOBA .326 → .268 (−58)K% 15.9% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.94%	÷0.983	×1.220	—	—	19.78%
BB% (unintentional) /PA	5.07%	÷1.055	×0.700	—	×1.050	3.53%
HBP% /PA	0.00%	—	×0.870	—	×1.050	0.00%
Singles /BIP	25.23%	÷1.030	×0.920	×0.987	×1.050	23.35%
Doubles /BIP	1.87%	÷0.890	×0.840	×0.987	×1.050	1.83%
Triples /BIP	0.93%	÷0.921	×0.940	×0.987	×1.050	0.99%
Home runs /BIP	5.61%	÷1.322	×0.800	—	×1.050	3.56%

Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 106, 2B 78, 3B 84, K 97, BB 111 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .326 → .268; ISO .171 → .119; BABIP .294 → .269. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 A+Myrtle Beach Pelicans · 425 PAwOBA .357 → .309 (−48)K% 15.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.76%	÷1.031	×1.420	—	—	21.71%
BB% (unintentional) /PA	5.88%	÷1.000	×0.630	—	×1.050	3.89%
HBP% /PA	3.53%	—	×0.860	—	×1.050	3.19%
Singles /BIP	23.55%	÷1.072	×0.940	×1.014	×1.050	21.97%
Doubles /BIP	10.65%	÷1.039	×0.830	×1.014	×1.050	9.06%
Triples /BIP	1.29%	÷1.085	×0.800	×1.014	×1.050	1.01%
Home runs /BIP	1.61%	÷0.847	×0.900	—	×1.050	1.80%

Factors used: league row CAR. Park (home-season share, regressed): HR 69, 1B 114, 2B 108, 3B 117, K 106, BB 100 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .357 → .309; ISO .149 → .132; BABIP .355 → .321. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2013 AAFrisco RoughRiders · 144 PAwOBA .373 → .339 (−35)K% 16.7% → 20.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷0.984	×1.220	—	—	20.67%
BB% (unintentional) /PA	5.56%	÷1.162	×0.700	—	×1.050	3.51%
HBP% /PA	0.69%	—	×0.870	—	×1.050	0.63%
Singles /BIP	22.73%	÷0.933	×0.920	×1.043	×1.050	24.55%
Doubles /BIP	7.27%	÷1.035	×0.840	×1.043	×1.050	6.46%
Triples /BIP	1.82%	÷0.986	×0.940	×1.043	×1.050	1.90%
Home runs /BIP	5.45%	÷1.114	×0.800	—	×1.050	4.11%

Factors used: league row TL. Park (home-season share, regressed): HR 123, 1B 87, 2B 107, 3B 97, K 97, BB 132 — applied at half strength. Age: age 19 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .373 → .339; ISO .224 → .183; BABIP .337 → .343. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2012 AHickory Crawdads · 471 PAwOBA .310 → .261 (−49)K% 13.8% → 19.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.80%	÷0.954	×1.340	—	—	19.38%
BB% (unintentional) /PA	5.31%	÷1.047	×0.660	—	×1.050	3.51%
HBP% /PA	2.12%	—	×0.770	—	×1.050	1.72%
Singles /BIP	20.44%	÷1.032	×0.920	×1.017	×1.050	19.45%
Doubles /BIP	6.27%	÷1.039	×0.820	×1.017	×1.050	5.28%
Triples /BIP	1.09%	÷0.917	×0.940	×1.017	×1.050	1.19%
Home runs /BIP	2.72%	÷1.146	×0.820	—	×1.050	2.05%

Factors used: league row SAL. Park (home-season share, regressed): HR 129, 1B 106, 2B 108, 3B 83, K 91, BB 109 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .310 → .261; ISO .141 → .114; BABIP .284 → .263. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .